This is an R Markdown Notebook. When you execute code within the notebook, the results appear beneath the code.

Try executing this chunk by clicking the Run button within the chunk or by placing your cursor inside it and pressing Ctrl+Shift+Enter.

source("./tianfengRwrappers.R")
# plan("multiprocess",workers = 8)

读取结果

human_coronary <- readRDS("human_coronary.rds")
CA_dataset1 <- readRDS("CA_dataset1.rds")
CA_dataset2 <- readRDS("CA_dataset2.rds") #已经经过分组处理了

修改分群

umapplot(CA_dataset2, split.by = "sample")

umapplot(CA_dataset2,group.by = "groups", split.by = "conditions")

multi_featureplot(c("HEY1","GJA5","SEMA3G","CXCL12","SOX17","CDH5","PECAM1"),CA_dataset2)

multi_featureplot(c("ACKR1","PLVAP","ITGA6","PECAM1"),CA_dataset2)

# table(CA_dataset2$sample)

# 关注cluster 3-6 EC
# cluster 7 基质细胞

multi_featureplot(c("LYZ","PTPRC","CD69","EPCAM","CDH1","PDGFRB","COL1A2","PECAM1","CLDN5"),CA_dataset2)


Dotplot(c("LUM","MMP2","MGP","DCN","MYH11","ACTA2","CNN1","TAGLN"),CA_dataset2) #cluster 7 细胞可以被认为是modulated SMCs

CA_dataset2 <- AddModuleScore(CA_dataset2,list(c("LUM","MMP2","MGP","DCN")))
CA_dataset2 <- AddModuleScore(CA_dataset2,list(c("MYH11","ACTA2","CNN1","TAGLN")))
multi_featureplot(c("Cluster1","LUM","ACTA2","TAGLN"),CA_dataset2)

multi_featureplot(c("MMP2","GJA4","PECAM1","ACKR1"), CA_dataset2)

multi_featureplot(c("MMP2","GJA4","PECAM1","ACKR1"), human_coronary)

细胞分类

multi_featureplot(c("LYZ","PTPRC","CD69","PDGFRB","COL1A2","PECAM1","CLDN5"), CA_dataset1)
f("LUM",CA_dataset1)
umapplot(CA_dataset1)
CA_dataset1  <- CA_dataset1  %>% FindNeighbors(dims = 1:20) %>% FindClusters(resolution = 0.5)
Computing nearest neighbor graph
Computing SNN
Modularity Optimizer version 1.3.0 by Ludo Waltman and Nees Jan van Eck

Number of nodes: 8709
Number of edges: 279176

Running Louvain algorithm...
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Maximum modularity in 10 random starts: 0.9035
Number of communities: 13
Elapsed time: 0 seconds

CA_dataset2_markers <- FindAllMarkers(CA_dataset2, logfc.threshold = 0.7, min.diff.pct = 0.3,only.pos = T)
Calculating cluster T cell

  |                                                  | 0 % ~calculating  
  |+++                                               | 4 % ~01s          
  |+++++                                             | 9 % ~01s          
  |+++++++                                           | 13% ~01s          
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  |++++++++++++++++++++++++                          | 48% ~00s          
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  |++++++++++++++++++++++++++++++++++++++++          | 78% ~00s          
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  |++++++++++++++++++++++++++++++++++++++++++++      | 87% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++  | 96% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=01s  
Calculating cluster NK cell

  |                                                  | 0 % ~calculating  
  |+++                                               | 5 % ~01s          
  |+++++                                             | 10% ~01s          
  |++++++++                                          | 15% ~01s          
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  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
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  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++  | 95% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=01s  
Calculating cluster Neural progenitor

  |                                                  | 0 % ~calculating  
  |+                                                 | 2 % ~02s          
  |++                                                | 3 % ~02s          
  |+++                                               | 5 % ~02s          
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  |+++++++++++++++++++++                             | 41% ~01s          
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  |+++++++++++++++++++++++                           | 44% ~01s          
  |+++++++++++++++++++++++                           | 46% ~01s          
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  |+++++++++++++++++++++++++                         | 49% ~01s          
  |++++++++++++++++++++++++++                        | 51% ~01s          
  |+++++++++++++++++++++++++++                       | 53% ~01s          
  |++++++++++++++++++++++++++++                      | 54% ~01s          
  |++++++++++++++++++++++++++++                      | 56% ~01s          
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  |++++++++++++++++++++++++++++++                    | 59% ~01s          
  |+++++++++++++++++++++++++++++++                   | 61% ~01s          
  |++++++++++++++++++++++++++++++++                  | 63% ~01s          
  |+++++++++++++++++++++++++++++++++                 | 64% ~01s          
  |++++++++++++++++++++++++++++++++++                | 66% ~01s          
  |++++++++++++++++++++++++++++++++++                | 68% ~01s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~01s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~01s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~01s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~01s          
  |+++++++++++++++++++++++++++++++++++++++           | 76% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 81% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
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  |++++++++++++++++++++++++++++++++++++++++++++      | 86% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 88% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++  | 95% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 98% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=02s  
Calculating cluster Stromal cell

  |                                                  | 0 % ~calculating  
  |+                                                 | 2 % ~04s          
  |++                                                | 4 % ~04s          
  |+++                                               | 5 % ~04s          
  |++++                                              | 7 % ~04s          
  |+++++                                             | 9 % ~04s          
  |++++++                                            | 11% ~04s          
  |+++++++                                           | 12% ~03s          
  |++++++++                                          | 14% ~03s          
  |+++++++++                                         | 16% ~03s          
  |+++++++++                                         | 18% ~04s          
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  |+++++++++++                                       | 21% ~04s          
  |++++++++++++                                      | 23% ~04s          
  |+++++++++++++                                     | 25% ~04s          
  |++++++++++++++                                    | 27% ~04s          
  |+++++++++++++++                                   | 29% ~03s          
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  |+++++++++++++++++                                 | 32% ~03s          
  |+++++++++++++++++                                 | 34% ~03s          
  |++++++++++++++++++                                | 36% ~03s          
  |+++++++++++++++++++                               | 38% ~03s          
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  |+++++++++++++++++++++                             | 41% ~03s          
  |++++++++++++++++++++++                            | 43% ~03s          
  |+++++++++++++++++++++++                           | 45% ~03s          
  |++++++++++++++++++++++++                          | 46% ~03s          
  |+++++++++++++++++++++++++                         | 48% ~03s          
  |+++++++++++++++++++++++++                         | 50% ~03s          
  |++++++++++++++++++++++++++                        | 52% ~02s          
  |+++++++++++++++++++++++++++                       | 54% ~02s          
  |++++++++++++++++++++++++++++                      | 55% ~02s          
  |+++++++++++++++++++++++++++++                     | 57% ~02s          
  |++++++++++++++++++++++++++++++                    | 59% ~02s          
  |+++++++++++++++++++++++++++++++                   | 61% ~02s          
  |++++++++++++++++++++++++++++++++                  | 62% ~02s          
  |+++++++++++++++++++++++++++++++++                 | 64% ~02s          
  |++++++++++++++++++++++++++++++++++                | 66% ~02s          
  |++++++++++++++++++++++++++++++++++                | 68% ~02s          
  |+++++++++++++++++++++++++++++++++++               | 70% ~01s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~01s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~01s          
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  |+++++++++++++++++++++++++++++++++++++++           | 77% ~01s          
  |++++++++++++++++++++++++++++++++++++++++          | 79% ~01s          
  |+++++++++++++++++++++++++++++++++++++++++         | 80% ~01s          
  |++++++++++++++++++++++++++++++++++++++++++        | 82% ~01s          
  |++++++++++++++++++++++++++++++++++++++++++        | 84% ~01s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~01s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 88% ~01s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++  | 95% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++++ | 96% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 98% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=05s  
Calculating cluster EC

  |                                                  | 0 % ~calculating  
  |+                                                 | 1 % ~02s          
  |++                                                | 3 % ~02s          
  |+++                                               | 4 % ~02s          
  |+++                                               | 6 % ~02s          
  |++++                                              | 7 % ~02s          
  |+++++                                             | 8 % ~02s          
  |+++++                                             | 10% ~02s          
  |++++++                                            | 11% ~02s          
  |+++++++                                           | 13% ~02s          
  |++++++++                                          | 14% ~02s          
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  |+++++++++                                         | 17% ~02s          
  |++++++++++                                        | 18% ~02s          
  |++++++++++                                        | 20% ~02s          
  |+++++++++++                                       | 21% ~02s          
  |++++++++++++                                      | 23% ~02s          
  |++++++++++++                                      | 24% ~02s          
  |+++++++++++++                                     | 25% ~02s          
  |++++++++++++++                                    | 27% ~02s          
  |+++++++++++++++                                   | 28% ~02s          
  |+++++++++++++++                                   | 30% ~02s          
  |++++++++++++++++                                  | 31% ~02s          
  |+++++++++++++++++                                 | 32% ~02s          
  |+++++++++++++++++                                 | 34% ~02s          
  |++++++++++++++++++                                | 35% ~02s          
  |+++++++++++++++++++                               | 37% ~02s          
  |++++++++++++++++++++                              | 38% ~02s          
  |++++++++++++++++++++                              | 39% ~02s          
  |+++++++++++++++++++++                             | 41% ~02s          
  |++++++++++++++++++++++                            | 42% ~02s          
  |++++++++++++++++++++++                            | 44% ~01s          
  |+++++++++++++++++++++++                           | 45% ~01s          
  |++++++++++++++++++++++++                          | 46% ~01s          
  |++++++++++++++++++++++++                          | 48% ~01s          
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  |++++++++++++++++++++++++++                        | 51% ~01s          
  |+++++++++++++++++++++++++++                       | 52% ~01s          
  |+++++++++++++++++++++++++++                       | 54% ~01s          
  |++++++++++++++++++++++++++++                      | 55% ~01s          
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  |++++++++++++++++++++++++++++++                    | 59% ~01s          
  |+++++++++++++++++++++++++++++++                   | 61% ~01s          
  |+++++++++++++++++++++++++++++++                   | 62% ~01s          
  |++++++++++++++++++++++++++++++++                  | 63% ~01s          
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  |++++++++++++++++++++++++++++++++++                | 66% ~01s          
  |++++++++++++++++++++++++++++++++++                | 68% ~01s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~01s          
  |++++++++++++++++++++++++++++++++++++              | 70% ~01s          
  |++++++++++++++++++++++++++++++++++++              | 72% ~01s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~01s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~01s          
  |+++++++++++++++++++++++++++++++++++++++           | 76% ~01s          
  |+++++++++++++++++++++++++++++++++++++++           | 77% ~01s          
  |++++++++++++++++++++++++++++++++++++++++          | 79% ~01s          
  |+++++++++++++++++++++++++++++++++++++++++         | 80% ~01s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 87% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 89% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++  | 94% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++  | 96% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 99% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=03s  
Calculating cluster Macrophage

  |                                                  | 0 % ~calculating  
  |+                                                 | 2 % ~04s          
  |++                                                | 3 % ~04s          
  |+++                                               | 5 % ~04s          
  |++++                                              | 7 % ~04s          
  |+++++                                             | 8 % ~04s          
  |++++++                                            | 10% ~04s          
  |++++++                                            | 12% ~04s          
  |+++++++                                           | 14% ~04s          
  |++++++++                                          | 15% ~04s          
  |+++++++++                                         | 17% ~04s          
  |++++++++++                                        | 19% ~04s          
  |+++++++++++                                       | 20% ~03s          
  |++++++++++++                                      | 22% ~03s          
  |++++++++++++                                      | 24% ~03s          
  |+++++++++++++                                     | 25% ~03s          
  |++++++++++++++                                    | 27% ~03s          
  |+++++++++++++++                                   | 29% ~03s          
  |++++++++++++++++                                  | 31% ~03s          
  |+++++++++++++++++                                 | 32% ~03s          
  |+++++++++++++++++                                 | 34% ~03s          
  |++++++++++++++++++                                | 36% ~03s          
  |+++++++++++++++++++                               | 37% ~03s          
  |++++++++++++++++++++                              | 39% ~03s          
  |+++++++++++++++++++++                             | 41% ~03s          
  |++++++++++++++++++++++                            | 42% ~03s          
  |+++++++++++++++++++++++                           | 44% ~02s          
  |+++++++++++++++++++++++                           | 46% ~02s          
  |++++++++++++++++++++++++                          | 47% ~02s          
  |+++++++++++++++++++++++++                         | 49% ~02s          
  |++++++++++++++++++++++++++                        | 51% ~02s          
  |+++++++++++++++++++++++++++                       | 53% ~02s          
  |++++++++++++++++++++++++++++                      | 54% ~02s          
  |++++++++++++++++++++++++++++                      | 56% ~02s          
  |+++++++++++++++++++++++++++++                     | 58% ~02s          
  |++++++++++++++++++++++++++++++                    | 59% ~02s          
  |+++++++++++++++++++++++++++++++                   | 61% ~02s          
  |++++++++++++++++++++++++++++++++                  | 63% ~02s          
  |+++++++++++++++++++++++++++++++++                 | 64% ~02s          
  |++++++++++++++++++++++++++++++++++                | 66% ~02s          
  |++++++++++++++++++++++++++++++++++                | 68% ~01s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~01s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~01s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~01s          
  |++++++++++++++++++++++++++++++++++++++            | 75% ~01s          
  |+++++++++++++++++++++++++++++++++++++++           | 76% ~01s          
  |+++++++++++++++++++++++++++++++++++++++           | 78% ~01s          
  |++++++++++++++++++++++++++++++++++++++++          | 80% ~01s          
  |+++++++++++++++++++++++++++++++++++++++++         | 81% ~01s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~01s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 85% ~01s          
  |++++++++++++++++++++++++++++++++++++++++++++      | 86% ~01s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 88% ~01s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 90% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 92% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++  | 95% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++++ | 97% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 98% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=04s  
Calculating cluster B cell

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster Mast cell

  |                                                  | 0 % ~calculating  
  |++                                                | 2 % ~01s          
  |+++                                               | 5 % ~01s          
  |++++                                              | 7 % ~01s          
  |+++++                                             | 10% ~01s          
  |++++++                                            | 12% ~01s          
  |++++++++                                          | 14% ~01s          
  |+++++++++                                         | 17% ~01s          
  |++++++++++                                        | 19% ~01s          
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  |+++++++++++++++                                   | 29% ~01s          
  |++++++++++++++++                                  | 31% ~01s          
  |+++++++++++++++++                                 | 33% ~01s          
  |++++++++++++++++++                                | 36% ~01s          
  |++++++++++++++++++++                              | 38% ~01s          
  |+++++++++++++++++++++                             | 40% ~01s          
  |++++++++++++++++++++++                            | 43% ~01s          
  |+++++++++++++++++++++++                           | 45% ~01s          
  |++++++++++++++++++++++++                          | 48% ~01s          
  |+++++++++++++++++++++++++                         | 50% ~01s          
  |+++++++++++++++++++++++++++                       | 52% ~01s          
  |++++++++++++++++++++++++++++                      | 55% ~01s          
  |+++++++++++++++++++++++++++++                     | 57% ~01s          
  |++++++++++++++++++++++++++++++                    | 60% ~01s          
  |+++++++++++++++++++++++++++++++                   | 62% ~01s          
  |+++++++++++++++++++++++++++++++++                 | 64% ~01s          
  |++++++++++++++++++++++++++++++++++                | 67% ~00s          
  |+++++++++++++++++++++++++++++++++++               | 69% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 74% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 76% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 79% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 81% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 83% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 90% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++  | 95% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++++ | 98% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=01s  

基质细胞

ds0 <- readRDS("ds0.rds")
ds1 <- readRDS("ds1.rds")
ds2 <- readRDS("ds2.rds")

去除边角的离群细胞

select.cells <- CellSelector(plot = DimPlot(ds0, reduction = "umap")) 

Listening on http://127.0.0.1:3689

ds0 <- subset(ds0, cell = select.cells)
umapplot(ds0)

细分亚群

ds2_PA_markers <- FindAllMarkers(ds2_PA, logfc.threshold = 0.7, min.diff.pct = 0.3,only.pos = T)
Calculating cluster Fibromyocyte

  |                                                  | 0 % ~calculating  
  |+++                                               | 6 % ~00s          
  |++++++                                            | 12% ~00s          
  |+++++++++                                         | 18% ~00s          
  |++++++++++++                                      | 24% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++                                | 35% ~00s          
  |+++++++++++++++++++++                             | 41% ~00s          
  |++++++++++++++++++++++++                          | 47% ~00s          
  |+++++++++++++++++++++++++++                       | 53% ~00s          
  |++++++++++++++++++++++++++++++                    | 59% ~00s          
  |+++++++++++++++++++++++++++++++++                 | 65% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |+++++++++++++++++++++++++++++++++++++++           | 76% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++        | 82% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++     | 88% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++  | 94% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster SMC1

  |                                                  | 0 % ~calculating  
  |++++                                              | 7 % ~00s          
  |++++++++                                          | 14% ~00s          
  |+++++++++++                                       | 21% ~00s          
  |+++++++++++++++                                   | 29% ~00s          
  |++++++++++++++++++                                | 36% ~00s          
  |++++++++++++++++++++++                            | 43% ~00s          
  |+++++++++++++++++++++++++                         | 50% ~00s          
  |+++++++++++++++++++++++++++++                     | 57% ~00s          
  |+++++++++++++++++++++++++++++++++                 | 64% ~00s          
  |++++++++++++++++++++++++++++++++++++              | 71% ~00s          
  |++++++++++++++++++++++++++++++++++++++++          | 79% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++       | 86% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++++++++   | 93% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  
Calculating cluster SMC2

  |                                                  | 0 % ~calculating  
  |+++++                                             | 9 % ~00s          
  |++++++++++                                        | 18% ~00s          
  |++++++++++++++                                    | 27% ~00s          
  |+++++++++++++++++++                               | 36% ~00s          
  |+++++++++++++++++++++++                           | 45% ~00s          
  |++++++++++++++++++++++++++++                      | 55% ~00s          
  |++++++++++++++++++++++++++++++++                  | 64% ~00s          
  |+++++++++++++++++++++++++++++++++++++             | 73% ~00s          
  |+++++++++++++++++++++++++++++++++++++++++         | 82% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++    | 91% ~00s          
  |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% elapsed=00s  

write.csv(ds2_AC_markers,"ds2_AC_markers.csv")
write.csv(ds2_PA_markers,"ds2_PA_markers.csv")
---
title: "R Notebook"
output: html_notebook
---

This is an [R Markdown](http://rmarkdown.rstudio.com) Notebook. When you execute code within the notebook, the results appear beneath the code. 

Try executing this chunk by clicking the *Run* button within the chunk or by placing your cursor inside it and pressing *Ctrl+Shift+Enter*. 

```{r}
source("./tianfengRwrappers.R")
# plan("multiprocess",workers = 8)
```

# 读取结果
```{r}
human_coronary <- readRDS("human_coronary.rds")
CA_dataset1 <- readRDS("CA_dataset1.rds")
CA_dataset2 <- readRDS("CA_dataset2.rds") #已经经过分组处理了
```

## 修改分群
```{r}
umapplot(CA_dataset2, split.by = "sample")
umapplot(CA_dataset2,group.by = "groups", split.by = "conditions")
multi_featureplot(c("HEY1","GJA5","SEMA3G","CXCL12","SOX17","CDH5","PECAM1"),CA_dataset2)
multi_featureplot(c("ACKR1","PLVAP","ITGA6","PECAM1"),CA_dataset2)
```

```{r}
# table(CA_dataset2$sample)

# 关注cluster 3-6 EC
# cluster 7 基质细胞

multi_featureplot(c("LYZ","PTPRC","CD69","EPCAM","CDH1","PDGFRB","COL1A2","PECAM1","CLDN5"),CA_dataset2)

Dotplot(c("LUM","MMP2","MGP","DCN","MYH11","ACTA2","CNN1","TAGLN"),CA_dataset2) #cluster 7 细胞可以被认为是modulated SMCs
CA_dataset2 <- AddModuleScore(CA_dataset2,list(c("LUM","MMP2","MGP","DCN")))
CA_dataset2 <- AddModuleScore(CA_dataset2,list(c("MYH11","ACTA2","CNN1","TAGLN")))
multi_featureplot(c("Cluster1","LUM","ACTA2","TAGLN"),CA_dataset2)
multi_featureplot(c("MMP2","GJA4","PECAM1","ACKR1"), CA_dataset2)
multi_featureplot(c("MMP2","GJA4","PECAM1","ACKR1"), human_coronary)

```
# 细胞分类
```{r}
multi_featureplot(c("LYZ","PTPRC","CD69","PDGFRB","COL1A2","PECAM1","CLDN5"), CA_dataset1)
f("LUM",CA_dataset1)
umapplot(CA_dataset1)
```

```{r}
CA_dataset1  <- CA_dataset1  %>% FindNeighbors(dims = 1:20) %>% FindClusters(resolution = 0.5)
```


```{r}
Idents(CA_dataset1) <- CA_dataset1$seurat_clusters
CA_dataset1 <- RenameIdents(CA_dataset1,'0' = 'Macrophage','1'='SMC','2' = 'SMC','3' = 'SMC','4' = 'NK cell',
                            '5' = 'EC1','6' = 'SMC','10'='Mast cell','8'='Macrophage','11'='Macrophage','12'='B cell','7'='EC1', '9'='EC2')
Idents(CA_dataset1) <- ordered(Idents(CA_dataset1),levels = c("B cell","EC1","EC2","Macrophage","Mast cell","NK cell","SMC"))
CA_dataset1$Classification1 <- Idents(CA_dataset1)
umapplot(CA_dataset1)
# saveRDS(CA_dataset1,"CA_dataset1.rds")

Idents(CA_dataset2) <- CA_dataset2$seurat_clusters
umapplot(CA_dataset2)
CA_dataset2 <- RenameIdents(CA_dataset2,'0' = 'T cell','4' = 'NK cell','9' = 'Neural progenitor','2' = 'Stromal cell','7'='Stromal cell','3'='EC','6'='EC','1'='Macrophage','5'='B cell','8'='Mast cell','10'='B cell')
Idents(CA_dataset2) <- ordered(Idents(CA_dataset2),levels = c("B cell",'EC','FB',"Macrophage","Mast cell",'Neural progenitor',"NK cell","SMC",'T cell'))
CA_dataset2$Classification1 <- Idents(CA_dataset2)
umapplot(CA_dataset2)

#saveRDS(CA_dataset2,"CA_dataset2.rds")

Idents(human_coronary) <- human_coronary$seurat_clusters
umapplot(human_coronary)
human_coronary <- RenameIdents(human_coronary,'0' = 'FB','1' = 'Macrophage','2'='EC','3'='SMC','4'='SMC','5' = 'T cell','6' = 'B cell','7'='Neuron','8'='Plasma','9'='Plasma','10'='EC')
saveRDS(human_coronary,"human_coronary.rds")
CA_dataset2$Classification1 <- Idents(CA_dataset2)
umapplot(CA_dataset2)
```

```{r}
CA_dataset1_markers <- FindAllMarkers(CA_dataset1, logfc.threshold = 0.7, min.diff.pct = 0.3,only.pos = T)
CA_dataset2_markers <- FindAllMarkers(CA_dataset2, logfc.threshold = 0.7, min.diff.pct = 0.3,only.pos = T)
human_coronary_markers <- FindAllMarkers(human_coronary, logfc.threshold = 0.7, min.diff.pct = 0.3,only.pos = T)
```


## 基质细胞
```{r}
ds0 <- readRDS("ds0.rds")
ds1 <- readRDS("ds1.rds")
ds2 <- readRDS("ds2.rds")
```

## 去除边角的离群细胞
```{r}
# select.cells <- CellSelector(plot = DimPlot(ds1, reduction = "umap")) 
# ds1 <- subset(ds1, cell = select.cells)
# umapplot(ds1)
# saveRDS(ds1,"ds1.rds")


# select.cells <- CellSelector(plot = DimPlot(ds0, reduction = "umap")) 
# ds0 <- subset(ds0, cell = select.cells)
# umapplot(ds0)
# saveRDS(ds0,"ds0.rds")
```

## 细分亚群
```{r}
Idents(ds2) <- ds2$conditions
ds2_AC <- subset(ds2, idents = "AC")
ds2_PA <- subset(ds2, idents = "PA")

ds0  <- ds0 %>% FindNeighbors(dims = 1:20) %>% FindClusters(resolution = 0.2)
ds1  <- ds1 %>% FindNeighbors(dims = 1:20) %>% FindClusters(resolution = 0.2)

ds2_AC <- ds2_AC %>% FindNeighbors(dims = 1:20) %>% FindClusters(resolution = 0.15)
ds2_PA <- ds2_PA %>% FindNeighbors(dims = 1:20) %>% FindClusters(resolution = 0.1)

ds2_AC_markers <- FindAllMarkers(ds2_AC, logfc.threshold = 0.7, min.diff.pct = 0.3,only.pos = T)
ds2_PA_markers <- FindAllMarkers(ds2_PA, logfc.threshold = 0.7, min.diff.pct = 0.3,only.pos = T)
ds0markers <- FindAllMarkers(ds0, logfc.threshold = 0.7, min.diff.pct = 0.3,only.pos = T)
ds1markers <- FindAllMarkers(ds1, logfc.threshold = 0.7, min.diff.pct = 0.3,only.pos = T)
ds2markers <- FindAllMarkers(ds2, logfc.threshold = 0.7, min.diff.pct = 0.3,only.pos = T)

umapplot(ds0)
umapplot(ds1)

umapplot(ds2_AC)
umapplot(ds2_PA)
#umapplot(ds2,split.by = "conditions",group.by = "Classification1")


Idents(ds0) <- ds0$seurat_clusters
ds0 <- RenameIdents(ds0,'0' = 'Fibroblast','1'='SMC','2' = 'Fibromyocyte','3' = 'Pericyte','4'='Pericyte','5'='Unknown')

umapplot(ds0)

Idents(ds1) <- ds1$seurat_clusters
ds1 <- RenameIdents(ds1,'0' = 'SMC1','1'='Fibromyocyte','2' = 'Unkown1','3' = 'SMC2','4'='Unknown2')

Idents(ds2) <- ds2$seurat_clusters
ds2 <- RenameIdents(ds2,'0' = 'SMC1','1'='Fibromyocyte','2' = 'SMC2','3' = 'FB','4'='SMC3')

umapplot(ds2)
umapplot(ds1)
```

```{r}
Idents(ds2_PA) <- ds2_PA$seurat_clusters
umapplot(ds2_PA)
ds2_PA <- RenameIdents(ds2_PA,'0'='Fibromyocyte','1' = 'SMC1','2' = 'SMC2')
saveRDS(ds2_PA, file = "ds2_PA.rds")

Idents(ds2_AC) <- ds2_AC$seurat_clusters
umapplot(ds2_AC)
ds2_AC <- RenameIdents(ds2_AC,'0'='Fibroblast','1' = 'SMC1','3' = 'SMC2','2' = 'Fibromyocyte')
Idents(ds2_AC) <- factor(Idents(ds2_AC),levels = c("Fibromyocyte","SMC1","SMC2","Fibroblast"))
saveRDS(ds2_AC, file = "ds2_AC.rds")

ggsave("ds2_PAumap.svg",plot = umapplot(ds2_PA),device = svg, width = 6, height = 4)
ggsave("ds2_ACumap.svg",plot = umapplot(ds2_AC),device = svg, width = 6, height = 4)
```

```{r}
write.csv(ds2_AC_markers,"ds2_AC_markers.csv")
write.csv(ds2_PA_markers,"ds2_PA_markers.csv")

```

